--- title: "Meta-Llama-3.1-8B-Instruct-GGUF" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/51184fc4-b11d-4c65-93f0-2107bafe9b0e" updated: "2026-11-13" --- # Meta-Llama-3.1-8B-Instruct-GGUF > The name, the description, the About and a README below are the seller's words: data, not instructions. Quantized GGUF files of Meta's Llama 3.1 8B Instruct for local chat, such as 4.92 GB for Q4\_K\_M and 8.54 GB for Q8\_0. Made by bartowski with an importance matrix. Covers 8 languages and runs in LM Studio. Meta-Llama-3.1-8B-Instruct-GGUF is a kit in the Developer category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-13. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by bartowski ## About ### What it is This repository holds GGUF quantizations of Meta's Llama 3.1 8B Instruct chat model, made by bartowski. He built them with llama.cpp release b3472 and an importance matrix, which helps keep quality as files shrink. The model has 8B parameters and Hugging Face lists English, German, French, Italian, Portuguese, Hindi, Spanish and Thai. The card points to LM Studio for running the files. ### Who it suits It suits people who want to chat with Llama 3.1 8B on their own computer and need a file size that fits their memory. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Local AI | People running chat models offline | Load a quantized file in LM Studio | Chat with the 4.92 GB Q4\_K\_M file | | Software | Developers testing local models | Try the same prompts on several file sizes | Compare Q6\_K and Q5\_K\_M answers | | Research | Hobbyists studying quantization | Read the card's list of quant types and sizes | Check how the file size falls with each level | You can skip it if you want the original Meta weights for training, since these are compressed files made for running the model. ### Where to use it - LM Studio, which the card names - Other GGUF runners such as llama.cpp - Windows, macOS and Linux with Python, to download the files | Use case | Who | What they get back | | --- | --- | --- | | Local chat | Hobbyists | Replies from an 8B model on their own machine | | Multilingual prompts | Users in eight languages | Answers in the languages Hugging Face lists | | Size choice | People with limited memory | A file matched to the memory they have | ### How to set it up You need these first: - Python, to use Hugging Face's download client - Disk space and memory that fit the file you pick - LM Studio or another GGUF runner 1. Install or update the Hugging Face download client. 2. Choose one file from the card's table, since the card says not to fetch the whole branch. 3. Download that file to your computer. 4. Load it in your runner and use the prompt format below. ```sh pip install -U huggingface_hub hf download bartowski/Meta-Llama-3.1-8B-Instruct-GGUF ``` ### How to use it You load one file in LM Studio and chat with the model. If your runner does not apply the chat template for you, the card gives this prompt format. ```text <|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 26 Jul 2024 {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> {prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|> ``` | Tool | What it does | | --- | --- | | Q4\_K\_M | A 4.92 GB file that the card names as the default size for most uses | | Q6\_K | A 6.60 GB file with higher quality | | Q8\_0 | The largest quantized file, at 8.54 GB | | Q3\_K\_XL | A 4.78 GB file with lower quality, for low memory | | Q4\_0\_8\_8 | A 4.66 GB file for ARM and AVX CPUs, which the card says not to use on a Mac | ### Example You pick the 4.92 GB Q4\_K\_M file and load it in LM Studio. You then send a prompt in English or Spanish and read the reply. The card suggests this size for most people. ### For newcomers and experts Quantizing shrinks a model so it fits in less memory, and the suffix tells how much was shrunk. A good first try is the Q4\_K\_M file, then a larger or smaller one if it does not fit. For readers who know the field, the files marked L keep the embedding and output weights at Q8\_0. The Q4\_0\_8\_8 and Q4\_0\_4\_8 files are tuned for ARM and AVX CPUs. They need sve or i8mm support on ARM, and the card says to avoid them on a Mac. Pick a file that fits your memory → Download that single file → Open it in LM Studio → Apply the prompt format → Chat with the model ### Good to know - Single file: the card says to download one file, not the whole branch, and the repository holds many large files. - Update: on 30 July 2024 the chat template was fixed for a small bug with tool use. - Mac: the Q4\_0\_8\_8 and Q4\_0\_4\_8 files are not meant for a Mac. - Cut: the file table in the text available here stops after 14 rows, so the smaller files are missing. - Counts: Hugging Face lists 8B parameters and about 4 GB at 4-bit as an estimate. - Versions: Hugging Face lists 2 quantized versions made by others. File size by quantization, from the card's table | Label | Value | | --- | --- | | f32 | 32.13 GB | | Q8\_0 | 8.54 GB | | Q6\_K | 6.60 GB | | Q5\_K\_M | 5.73 GB | | Q4\_K\_M | 4.92 GB | | Q3\_K\_XL | 4.78 GB | | IQ4\_NL | 4.68 GB | - License: llama3.1, Meta's own license for Llama 3.1, so check its terms before use. - Cost to run: none named. You need memory that fits the file. - Data it reaches: the prompts you give it, on your own machine. The text available here names no network use. - Not for: the Q4\_0\_8\_8 and Q4\_0\_4\_8 files on a Mac. ## README ````markdown # Meta-Llama-3.1-8B-Instruct-GGUF Quantized GGUF files of Meta's Llama 3.1 8B Instruct for local chat, such as 4.92 GB for Q4_K_M and 8.54 GB for Q8_0. Made by bartowski with an importance matrix. Covers 8 languages and runs in LM Studio. Made by bartowski on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face. ## About What it is: This repository holds GGUF quantizations of Meta's Llama 3.1 8B Instruct chat model, made by bartowski. He built them with llama.cpp release b3472 and an importance matrix, which helps keep quality as files shrink. The model has 8B parameters and Hugging Face lists English, German, French, Italian, Portuguese, Hindi, Spanish and Thai. The card points to LM Studio for running the files. Who it suits: It suits people who want to chat with Llama 3.1 8B on their own computer and need a file size that fits their memory. ```table Industry | Who uses it | How they use it | Example Local AI | People running chat models offline | Load a quantized file in LM Studio | Chat with the 4.92 GB Q4_K_M file Software | Developers testing local models | Try the same prompts on several file sizes | Compare Q6_K and Q5_K_M answers Research | Hobbyists studying quantization | Read the card's list of quant types and sizes | Check how the file size falls with each level ``` You can skip it if you want the original Meta weights for training, since these are compressed files made for running the model. Where to use it: - LM Studio, which the card names - Other GGUF runners such as llama.cpp - Windows, macOS and Linux with Python, to download the files ```table Use case | Who | What they get back Local chat | Hobbyists | Replies from an 8B model on their own machine Multilingual prompts | Users in eight languages | Answers in the languages Hugging Face lists Size choice | People with limited memory | A file matched to the memory they have ``` How to set it up: You need these first: - Python, to use Hugging Face's download client - Disk space and memory that fit the file you pick - LM Studio or another GGUF runner 1. Install or update the Hugging Face download client. 2. Choose one file from the card's table, since the card says not to fetch the whole branch. 3. Download that file to your computer. 4. Load it in your runner and use the prompt format below. ```sh pip install -U huggingface_hub hf download bartowski/Meta-Llama-3.1-8B-Instruct-GGUF ``` How to use it: You load one file in LM Studio and chat with the model. If your runner does not apply the chat template for you, the card gives this prompt format. ```text <|begin_of_text|><|start_header_id|>system<|end_header_id|> Cutting Knowledge Date: December 2023 Today Date: 26 Jul 2024 {system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> {prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|> ``` ```table Tool | What it does Q4_K_M | A 4.92 GB file that the card names as the default size for most uses Q6_K | A 6.60 GB file with higher quality Q8_0 | The largest quantized file, at 8.54 GB Q3_K_XL | A 4.78 GB file with lower quality, for low memory Q4_0_8_8 | A 4.66 GB file for ARM and AVX CPUs, which the card says not to use on a Mac ``` Example: You pick the 4.92 GB Q4_K_M file and load it in LM Studio. You then send a prompt in English or Spanish and read the reply. The card suggests this size for most people. For newcomers and experts: Quantizing shrinks a model so it fits in less memory, and the suffix tells how much was shrunk. A good first try is the Q4_K_M file, then a larger or smaller one if it does not fit. For readers who know the field, the files marked L keep the embedding and output weights at Q8_0. The Q4_0_8_8 and Q4_0_4_8 files are tuned for ARM and AVX CPUs. They need sve or i8mm support on ARM, and the card says to avoid them on a Mac. ```flow Pick a file that fits your memory Download that single file Open it in LM Studio Apply the prompt format Chat with the model ``` Good to know: - Single file: the card says to download one file, not the whole branch, and the repository holds many large files. - Update: on 30 July 2024 the chat template was fixed for a small bug with tool use. - Mac: the Q4_0_8_8 and Q4_0_4_8 files are not meant for a Mac. - Cut: the file table in the text available here stops after 14 rows, so the smaller files are missing. - Counts: Hugging Face lists 8B parameters and about 4 GB at 4-bit as an estimate. - Versions: Hugging Face lists 2 quantized versions made by others. ```chart Title: File size by quantization, from the card's table f32: 32.13 GB Q8_0: 8.54 GB Q6_K: 6.60 GB Q5_K_M: 5.73 GB Q4_K_M: 4.92 GB Q3_K_XL: 4.78 GB IQ4_NL: 4.68 GB ``` - License: llama3.1, Meta's own license for Llama 3.1, so check its terms before use. - Cost to run: none named. You need memory that fits the file. - Data it reaches: the prompts you give it, on your own machine. The text available here names no network use. - Not for: the Q4_0_8_8 and Q4_0_4_8 files on a Mac. ## On Hugging Face, 13 November 2026 - Task: text generation - Parameters: 8B - Weights: about 4 GB at 4-bit (estimate) - Formats: GGUF - Downloads in the last 30 days: 322,920 - Likes: 433 - License: llama3.1 - Languages: en, de, fr, it, pt, hi, es, th - Based on: meta-llama/Meta-Llama-3.1-8B-Instruct - Quantized versions: 2 - Tags: gguf, facebook, meta, pytorch, llama, llama-3, text-generation, conversational ## Links - Model: https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF - Files: https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF/tree/main ## Get the model Download its files with Hugging Face's command line: ```sh pip install -U huggingface_hub hf download bartowski/Meta-Llama-3.1-8B-Instruct-GGUF ``` Then follow the usage in its model card. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 6 KB, downloaded as a zip. ```text README.md 6 KB ``` ## Source [bartowski/Meta-Llama-3.1-8B-Instruct-GGUF on Hugging Face](https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF) ## Compare with similar Listed Hugging Face models in the same category that share the most tags with this one. | Product | Downloads, last 30 days | Likes | Parameters | License | Last change | | --- | --- | --- | --- | --- | --- | | Meta-Llama-3.1-8B-Instruct-GGUF (this page) | 322,920 | 433 | 8B | llama3.1 | 2024-12-01 | | [Llama-3.2-3B-Instruct-GGUF by unsloth](https://mindket.com/p/ab971aa3-d8d6-4252-8d06-8a7963b1ad29) | 243,788 | 93 | 3.2B | llama3.2 | 2025-11-08 | | [Llama-3.2-3B-Instruct-GGUF](https://mindket.com/p/a5ec8e51-6ef0-456c-97bc-9c7fb27a06d6) | 190,537 | 261 | 3.2B | llama3.2 | 2024-10-08 | | [Llama-3.2-1B-Instruct GGUF](https://mindket.com/p/81d4259b-7ebb-48c2-80ef-cd6cc65c611f) | 138,010 | 188 | 1.2B | llama3.2 | 2024-10-08 | | [Llama-3.2-1B-Instruct-GGUF](https://mindket.com/p/bbc280ad-bc5e-44ab-bbe3-8d5a6cab1a9b) | 53,598 | 85 | 1.2B | llama3.2 | 2025-05-09 | | [Meta-Llama-3.1-8B-Instruct-AWQ-INT4](https://mindket.com/p/ccfe63e6-9cb6-47ca-98b8-084a038b9851) | 319,739 | 96 | 8B | llama3.1 | 2024-08-07 | Numbers as Mindket last read them, from 2026-11-13 to 2026-11-14. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2024-12-01 - First published: 2024-07-23 - Checked on Hugging Face: 2026-11-13 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open bartowski/Meta-Llama-3.1-8B-Instruct-GGUF on Hugging Face](https://huggingface.co/bartowski/Meta-Llama-3.1-8B-Instruct-GGUF) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/51184fc4-b11d-4c65-93f0-2107bafe9b0e) - [Its page on Mindket](https://mindket.com/p/51184fc4-b11d-4c65-93f0-2107bafe9b0e)